Applied AI Engineer
Bjak · Remote · Singapore ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote possible
- Python + PyTorch
- LLM integration
- End-to-end ownership
- Small elite team
Actai is building intelligent applications for email, notes, and calendars that require little to no prompting. As an Applied AI Engineer, you will bridge machine learning, systems, and product to ensure AI works reliably in real-world scenarios. You will own the full lifecycle of AI features, from shaping model behavior to optimizing production performance.
What you'll do
- Build and ship AI features from model to user experience
- Design prompts, tools, memory, and agent workflows
- Convert raw model outputs into structured behaviors
- Debug issues across model, orchestration, and infrastructure
- Optimize systems for latency, cost, and reliability
- Develop evaluation frameworks for real-world performance
- Translate ambiguous problems into working systems with product teams
What you'll need
- Strong foundation in machine learning and neural networks
- Experience training, fine-tuning, or deploying ML models
- Ability to write clean, production-quality code
- Comfort working across model, infrastructure, and product layers
- Strong problem-solving skills in fast-moving environments
- Bias toward shipping, iteration, and continuous improvement
Stack
- Python
- PyTorch
- JAX
- LLMs
- vLLM
- Vector DB
Hiring process
- Technical team evaluates applications
- Three to four interviews maximum
- Interviews conducted via virtual meetings or onsite
- Prompt decision process after final interview